Senior Manager, EHS - Robotics
OpenAI · San Francisco
CHECKED 35M AGO
Frontier labremotesenior$203k–$275k
At a glance
Highlights
- Own site-level EHS strategy for scaling robotics R&D operations across sites.
- Embed safety into facility design, equipment deployment and 24/7 operations.
- Lead incident response, root-cause analysis and preventive actions across sites.
Ideal candidate
A seasoned EHS leader with 15+ years in complex technical environments who thrives in ambiguity and field work. You anticipate risk early, influence without authority, and build practical safety systems that enable fast-moving teams to operate safely.
Requirements
- 15+ years of progressive EHS experience, including leadership in robotics, advanced manufacturing, R&D, industrial, or complex technical environments
- Strong technical knowledge across occupational safety and health, including machine safety, ergonomics, electrical safety, hazardous energy, material handling, hazardous materials, and contractor safety
- Experience supporting complex sites through rapid scale, construction and operational overlap, commissioning, process change, or transition to 24/7 operations
- Strong working knowledge of OSHA and Cal/OSHA requirements with ability to translate regulations into scalable operating programs
- Demonstrated success influencing senior technical and operational leaders through partnership
- Experience building EHS systems, programs, metrics, vendor support, and operating rhythms for scaling organizations
- Strong judgment balancing operational speed, technical complexity, workforce needs, compliance, and risk
- Clear, credible communication skills with executives, engineers, operators, contractors, and external partners, including high-pressure incidents
- Comfort operating independently in ambiguity with field orientation, pragmatism, and ownership
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets